Maximum Power Point Tracking Utilizing Golden Section Optimization for Photovoltaic Systems
            
                编号:98
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                更新:2021-12-08 08:53:57
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                摘要
                The paper introduces a novel Maximum Power Point Tracking (MPPT) approach for Photovoltaic (PV) systems which is based on Golden Section Optimization (GSO). The approach finds the Maximum Power Point (MPP) by a method known as interval shrinking. Initially, two points were extracted from the known search space, then evaluated and a new point was generated accordingly. At the given iteration, according to the evaluation observations, the algorithm has a new narrowed interval bounded by the new point and one of the original points. When the interval is short enough, the algorithm begins iterating and the PV is required to run at the average value of the last discovered interval without disrupting either another voltage or the duty cycle. This thing makes the PV system converge easily to the MPP and around the highest PowerPoint without voltage or power oscillations, thus minimizing energy loss. The study reveals that, under quickly changing conditions and PV modules, the MPPT algorithm uses a few arithmetic operations and monitors the MPP of PV systems rapidly and accurately.
             
            
                关键词
                Golden section optimization,maximum power point tracking,photovoltaic cell
             
            
            
                    稿件作者
                    
                        
                                    
                                                                                                                        
                                    imran Afzal
                                    Hunan University
                                
                                    
                                                                                                                        
                                    Chao Zhang
                                    College of Electrical and Information Engineering; Hunan University
                                
                                    
                                        
                                                                            
                                    Jun Wang
                                    Hunan University
                                
                                             
                          
    
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